Florent Masseglia

117
Documents

Publications

Publications

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Scalable and accurate online multivariate anomaly detection

Rebecca Salles , Benoit Lange , Reza Akbarinia , Florent Masseglia , Eduardo Ogasawara et al.

Information Systems, 2025, 131, pp.102524. ⟨10.1016/j.is.2025.102524⟩

Article dans une revue lirmm-05332273v1
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ClimBurst: A Novel Method to Detect Climatological Anomalies Over Time and Space

Audrey Brouillet , Guillaume Coulaud , Dennis Shasha , Reza Akbarinia , Florent Masseglia

Geophysical Research Letters, 2025, 52 (19), pp.e2025GL117095. ⟨10.1029/2025gl117095⟩

Article dans une revue hal-05379952v1
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SoftED: Metrics for Soft Evaluation of Time Series Event Detection

Rebecca Salles , Janio Lima , Rafaelli Coutinho , Esther Pacitti , Florent Masseglia et al.

Computers & Industrial Engineering, 2024, 198, pp.110728. ⟨10.1016/j.cie.2024.110728⟩

Article dans une revue lirmm-04280618v1
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Life Science Workflow Services (LifeSWS): motivations and architecture

Reza Akbarinia , Christophe Botella , Alexis Joly , Florent Masseglia , Marta Mattoso et al.

Transactions on Large-Scale Data- and Knowledge-Centered Systems, 2023, Lecture Notes in Computer Science, 14280, pp.1-24. ⟨10.1007/978-3-662-68100-8_1⟩

Article dans une revue lirmm-04173545v1
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kNN matrix profile for knowledge discovery from time series

Tanmoy Mondal , Reza Akbarinia , Florent Masseglia

Data Mining and Knowledge Discovery, 2023, 37 (3), pp.1055-1089. ⟨10.1007/s10618-022-00883-8⟩

Article dans une revue lirmm-04225369v1
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BestNeighbor: Efficient Evaluation of kNN Queries on Large Time Series Databases

Oleksandra Levchenko , Boyan Kolev , Djamel-Edine Edine Yagoubi , Reza Akbarinia , Florent Masseglia et al.

Knowledge and Information Systems (KAIS), 2021, 63 (2), pp.349-378. ⟨10.1007/s10115-020-01518-4⟩

Article dans une revue lirmm-02973633v2
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Massively Distributed Time Series Indexing and Querying

Djamel-Edine Edine Yagoubi , Reza Akbarinia , Florent Masseglia , Themis Palpanas

IEEE Transactions on Knowledge and Data Engineering, 2020, 32 (1), pp.108-120. ⟨10.1109/TKDE.2018.2880215⟩

Article dans une revue lirmm-02197618v1
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Space Time Series Clustering: Algorithms, Taxonomy, and Case Study on Urban Smart Cities

Asma Belhadi , Youcef Djenouri , Kjetil Nørvåg , Heri Ramampiaro , Florent Masseglia et al.

Engineering Applications of Artificial Intelligence, 2020, 95, pp.#103857. ⟨10.1016/j.engappai.2020.103857⟩

Article dans une revue lirmm-03036868v1
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Spatial-Time Motifs Discovery

Heraldo Borges , Murillo Dutra , Amin Bazaz , Rafaelli Coutinho , Fábio Perosi et al.

Intelligent Data Analysis, 2020, 24 (5), pp.1121-1140. ⟨10.3233/IDA-194759⟩

Article dans une revue lirmm-02984969v1
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A “big-data” algorithm for KNN-PLS

Maxime Metz , Matthieu Lesnoff , Florent Abdelghafour , Reza Akbarinia , Florent Masseglia et al.

Chemometrics and Intelligent Laboratory Systems, 2020, 203, pp.104076. ⟨10.1016/j.chemolab.2020.104076⟩

Article dans une revue hal-02899789v1
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Apprentissage de la pensée informatique : de la formation des enseignant·e·s à la formation de tou·te·s les citoyen·ne·s

Corinne Atlan , Jean-Pierre Archambault , Olivier Banus , Frédéric Bardeau , Amélie Blandeau et al.

Revue de l'EPI (Enseignement Public et Informatique), 2019

Article dans une revue hal-02145478v1
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ParCorr: efficient parallel methods to identify similar time series pairs across sliding windows

Djamel-Edine Edine Yagoubi , Reza Akbarinia , Boyan Kolev , Oleksandra Levchenko , Florent Masseglia et al.

Data Mining and Knowledge Discovery, 2018, 32 (5), pp.1481-1507. ⟨10.1007/s10618-018-0580-z⟩

Article dans une revue lirmm-01886794v1
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Data placement in massively distributed environments for fast parallel mining of frequent itemsets

Saber Salah , Reza Akbarinia , Florent Masseglia

Knowledge and Information Systems (KAIS), 2017, 53 (1), pp.207-237. ⟨10.1007/s10115-017-1041-5⟩

Article dans une revue lirmm-01620383v1
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A Highly Scalable Parallel Algorithm for Maximally Informative k-Itemset Mining

Saber Salah , Reza Akbarinia , Florent Masseglia

Knowledge and Information Systems (KAIS), 2017, 50 (1), pp.1-26. ⟨10.1007/s10115-016-0931-2⟩

Article dans une revue lirmm-01288571v1

Où se trouve la science informatique ?

Maxime Amblard , Victoria Denys , Joanna Jongwane , Florent Masseglia

Interstices, 2015

Article dans une revue hal-01352666v1

The anti-bouncing data stream model for web usage streams with intralinkings

Chongsheng Zhang , Florent Masseglia , Yves Lechevallier

Information Sciences, 2014, 278, pp.757-772. ⟨10.1016/j.ins.2014.03.089⟩

Article dans une revue istex lirmm-01091868v1
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Autonomic Intrusion Detection: Adaptively Detecting Anomalies over Unlabeled Audit Data Streams in Computer Networks

Wei Wang , Thomas Guyet , René Quiniou , Marie-Odile Cordier , Florent Masseglia et al.

Knowledge-Based Systems, 2014, 70, pp.103-117. ⟨10.1016/j.knosys.2014.06.018⟩

Article dans une revue hal-01052810v1

Person of Interest : la surveillance des données individuelles pour anticiper les crimes

Florent Masseglia

Interstices, 2013

Article dans une revue hal-01350299v1
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Discovering Significant Evolution Patterns from Satelllite Image Time Series

François Petitjean , Florent Masseglia , Pierre Gancarski , Germain Forestier

International Journal of Neural Systems, 2011, 21 (6), pp.15. ⟨10.1142/S0129065711003024⟩

Article dans une revue lirmm-00639480v1
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Discovering Frequent Behaviors: Time is an Essential Element of the Context

Bashar Saleh , Florent Masseglia

Knowledge and Information Systems (KAIS), 2011, 28 (2), pp.311-331. ⟨10.1007/s10115-010-0361-5⟩

Article dans une revue hal-00640213v1
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Atypicity Detection in Data Streams: a Self-Adjusting Approach

Alice Marascu , Florent Masseglia

Intelligent Data Analysis, 2011, 15 (1), pp.89-105. ⟨10.3233/IDA-2010-0457⟩

Article dans une revue hal-00789034v1

Idée reçue : Les premiers résultats de Google sont les meilleurs

Florent Masseglia

Interstices, 2010

Article dans une revue hal-01350222v1

À propos de la fouille de données

Florent Masseglia , Joanna Jongwane

Interstices, 2010

Article dans une revue hal-01350298v1
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Efficient Mining of Sequential Patterns with Time Constraints: Reducing the Combinations

Florent Masseglia , Pascal Poncelet , Maguelonne Teisseire

Expert Systems with Applications, 2009, 36 (2), pp.2677-2690. ⟨10.1016/j.eswa.2008.01.021⟩

Article dans une revue istex lirmm-00272632v1
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Web Usage Mining: Extracting Unexpected Periods from Web Logs

Florent Masseglia , Pascal Poncelet , Maguelonne Teisseire , Alice Marascu

Data Mining and Knowledge Discovery, 2008, 16 (1), pp.039-065. ⟨10.1007/s10618-007-0080-z⟩

Article dans une revue lirmm-00204872v2

Mining Sequential Patterns from Data Streams: a Centroid Approach

Alice Marascu , Florent Masseglia

Journal of Intelligent Information Systems, 2006, 27 (3), pp.291-307. ⟨10.1007/s10844-006-9954-6⟩

Article dans une revue istex inria-00461296v1
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Extraction de motifs séquentiels. Problèmes et méthodes

Florent Masseglia , Maguelonne Teisseire , Pascal Poncelet

Revue des Sciences et Technologies de l'Information - Série ISI : Ingénierie des Systèmes d'Information, 2004, 9 (3/4), pp.183-210. ⟨10.3166/isi.9.3-4.183-210⟩

Article dans une revue lirmm-00108563v1
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HDM: A Client/Server/Engine Architecture for Real Time Web Usage Mining

Florent Masseglia , Maguelonne Teisseire , Pascal Poncelet

Knowledge and Information Systems (KAIS), 2003, 5 (4), pp.439-465. ⟨10.1007/s10115-003-0097-6⟩

Article dans une revue istex lirmm-00191952v1
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Incremental Mining of Sequential Patterns in Large Databases

Florent Masseglia , Pascal Poncelet , Maguelonne Teisseire

Data and Knowledge Engineering, 2003, 46 (1), pp.97-121. ⟨10.1016/S0169-023X(02)00209-4⟩

Article dans une revue lirmm-00269547v1
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Energy Efficient Time Series Anomaly Detection

Rebecca Salles , Benoit Lange , Reza Akbarinia , Florent Masseglia , Esther Pacitti

ICECET 2025 - International Conference on Electrical, Computer and Energy Technologies, Jul 2025, Paris, France

Communication dans un congrès lirmm-05495463v1
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ClimBurst: A Dynamic Visualization Tool to Display Climatological Anomalies over Time and Space

Guillaume Coulaud , Benoit Lange , Dennis Shasha , Audrey Brouillet , Reza Akbarinia et al.

CIKM 2025 - 34th ACM International Conference on Information and Knowledge Management, ACM, Nov 2025, Seoul, South Korea. pp.6629-6633, ⟨10.1145/3746252.3761466⟩

Communication dans un congrès hal-05379898v1
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A One-Health Platform for Antimicrobial Resistance Data Analytics

Benoit Lange , Reza Akbarinia , Florent Masseglia

CIKM 2024 - 33rd ACM International Conference on Information and Knowledge Management, Oct 2024, Boise, United States. pp.5230-5233, ⟨10.1145/3627673.3679237⟩

Communication dans un congrès lirmm-04774438v1
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Variable size segmentation for efficient representation and querying of non-uniform time series datasets

Lamia Djebour , Reza Akbarinia , Florent Masseglia

SAC 2022 - 37th ACM/SIGAPP Symposium on Applied Computing, Apr 2022, Virtual Event, United States. pp.395-402, ⟨10.1145/3477314.3507000⟩

Communication dans un congrès lirmm-03806053v1
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Parallel Techniques for Variable Size Segmentation of Time Series Datasets

Lamia Djebour , Reza Akbarinia , Florent Masseglia

ADBIS 2022 - 26th European Conference on Advances in Databases and Information Systems, Sep 2022, Turin, Italy. pp.148-162, ⟨10.1007/978-3-031-15740-0_12⟩

Communication dans un congrès lirmm-03805997v1
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ASAX : Segmentation adaptative basée sur la quantité d'information pour SAX

Lamia Djebour , Reza Akbarinia , Florent Masseglia

BDA 2021 - 37e Conférence sur la Gestion de Données - Principes, Technologies et Applications, Oct 2021, Paris, France

Communication dans un congrès lirmm-03468535v1
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Massively Distributed Clustering via Dirichlet Process Mixture

Khadidja Meguelati , Bénédicte Fontez , Nadine Hilgert , Florent Masseglia , Isabelle Sanchez

ECML PKDD 2020 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Sep 2020, Ghent, Belgium. ⟨10.1007/978-3-030-67670-4_34⟩

Communication dans un congrès lirmm-03036910v1
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Distributed Algorithms to Find Similar Time Series

Oleksandra Levchenko , Boyan Kolev , Djamel-Edine Edine Yagoubi , Dennis Shasha , Themis Palpanas et al.

ECML-PKDD 2019 - European Conference on Machine Learning and Knowledge Discovery in Databases, Sep 2019, Wurtzbourg, Germany. pp.781-785, ⟨10.1007/978-3-030-46133-1_51⟩

Communication dans un congrès lirmm-02265726v1
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Dirichlet Process Mixture Models made Scalable and Effective by means of Massive Distribution

Khadidja Meguelati , Bénédicte Fontez , Nadine Hilgert , Florent Masseglia

SAC 2019 - 34th ACM/SIGAPP Symposium on Applied Computing, Apr 2019, Limassol, Cyprus. pp.502-509, ⟨10.1145/3297280.3297327⟩

Communication dans un congrès hal-01999453v1
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Apprentissage de la pensée informatique : de la formation des enseignant·e·s à la formation de tou·te·s les citoyen·ne·s

Corinne Atlan , Jean-Pierre Archambault , Olivier Banus , Frédéric Bardeau , Amélie Blandeau et al.

EIAH Wokshop 2019 - Apprentissage de la pensée informatique de la maternelle à l’Université : retours d’expériences et passage à l’échelle, Jun 2019, Paris, France

Communication dans un congrès hal-02145480v1
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High Dimensional Data Clustering by means of Distributed Dirichlet Process Mixture Models

Khadidja Meguelati , Bénédicte Fontez , Nadine Hilgert , Florent Masseglia

IEEE Big Data 2019 - IEEE International Conference on Big Data, Dec 2019, Los-Angeles, United States

Communication dans un congrès lirmm-02364411v1
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Parallel Streaming Implementation of Online Time Series Correlation Discovery on Sliding Windows with Regression Capabilities

Boyan Kolev , Reza Akbarinia , Ricardo Jimenez-Peris , Oleksandra Levchenko , Florent Masseglia et al.

CLOSER 2019 - 9th International Conference on Cloud Computing and Services Science, May 2019, Heraklion, Greece. pp.681-687, ⟨10.5220/0007843806810687⟩

Communication dans un congrès lirmm-02265729v1
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A Distributed Collaborative Filtering Algorithm Using Multiple Data Sources

Mohamed Reda Bouadjenek , Esther Pacitti , Maximilien Servajean , Florent Masseglia , Amr Abbadi

DBKDA: Advances in Databases, Knowledge, and Data Applications, May 2018, Nice, France

Communication dans un congrès hal-01911684v1
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Spark-parSketch: A Massively Distributed Indexing of Time Series Datasets

Oleksandra Levchenko , Djamel-Edine Edine Yagoubi , Reza Akbarinia , Florent Masseglia , Boyan Kolev et al.

CIKM 2018 - 27th ACM International Conference on Information and Knowledge Management, Oct 2018, Turin, Italy. pp.1951-1954, ⟨10.1145/3269206.3269226⟩

Communication dans un congrès lirmm-01886760v1
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Scientific Data Analysis Using Data-Intensive Scalable Computing: the SciDISC Project

Patrick Valduriez , Marta Mattoso , Reza Akbarinia , Heraldo Borges , José Camata et al.

LADaS: Latin America Data Science Workshop, Aug 2018, Rio de Janeiro, Brazil

Communication dans un congrès lirmm-01867804v1
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Maximally Informative k-Itemset Mining from Massively Distributed Data Streams

Mehdi Zitouni , Reza Akbarinia , Sadok Ben Yahia , Florent Masseglia

SAC: Symposium on Applied Computing, Apr 2018, Pau, France. pp.502-509, ⟨10.1145/3167132.3167187⟩

Communication dans un congrès hal-01711990v1
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Discovering Tight Space-Time Sequences

Riccardo Campisano , Heraldo Borges , Fábio Porto , Fabio Perosi , Esther Pacitti et al.

DaWaK: Data Warehousing and Knowledge Discovery, Sep 2018, Regensburg, Germany. pp.247-257, ⟨10.1007/978-3-319-98539-8_19⟩

Communication dans un congrès hal-01925965v1
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DPiSAX: Massively Distributed Partitioned iSAX

Djamel-Edine Edine Yagoubi , Reza Akbarinia , Florent Masseglia , Themis Palpanas

ICDM 2017 - 17th IEEE International Conference on Data Mining, Nov 2017, New Orleans, LA, United States. pp.1135-1140, ⟨10.1109/ICDM.2017.151⟩

Communication dans un congrès lirmm-01620125v1
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Massively Distributed Environments and Closed Itemset Mining: The DCIM Approach

Mehdi Zitouni , Reza Akbarinia , Sadok Ben Yahia , Florent Masseglia

BDA: Gestion de Données — Principes, Technologies et Applications, Nov 2017, Nancy, France. pp.1-15

Communication dans un congrès lirmm-01620354v1
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RadiusSketch: Massively Distributed Indexing of Time Series

Djamel-Edine Edine Yagoubi , Reza Akbarinia , Florent Masseglia , Dennis Shasha

IEEE International Conference on Data Science and Advanced Analytics (DSAA 2017), Oct 2017, Tokyo, Japan. pp.262-271, ⟨10.1109/DSAA.2017.49⟩

Communication dans un congrès lirmm-01620154v1
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Massively Distributed Environments and Closed Itemset Mining: The DCIM Approach

Mehdi Zitouni , Reza Akbarinia , Sadok Ben Yahia , Florent Masseglia

CAiSE: Advanced Information Systems Engineering, Jun 2017, Essen, Germany. pp.231-246, ⟨10.1007/978-3-319-59536-8_15⟩

Communication dans un congrès lirmm-01620238v1
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Mining Maximally Informative k-Itemsets in Massively Distributed Environments

Saber Salah , Reza Akbarinia , Florent Masseglia

BDA: Gestion de Données — Principes, Technologies et Applications, Nov 2016, Poitiers, France

Communication dans un congrès lirmm-01411190v1
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A New Privacy-Preserving Solution for Clustering Massively Distributed Personal Times-Series

Tristan Allard , Georges Hébrail , Florent Masseglia , Esther Pacitti

ICDE: International Conference on Data Engineering, May 2016, Helsinki, Finland. pp.1370-1373, ⟨10.1109/ICDE.2016.7498347⟩

Communication dans un congrès lirmm-01270268v1
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Data Partitioning for Fast Mining of Frequent Itemsets in Massively Distributed Environments

Saber Salah , Reza Akbarinia , Florent Masseglia

DEXA 2015 - 26th International Conference on Database and Expert Systems Applications, Sep 2015, Valencia, Spain. pp.303-318, ⟨10.1007/978-3-319-22849-5_21⟩

Communication dans un congrès lirmm-01169603v1
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A Prime Number Based Approach for Closed Frequent Itemset Mining in Big Data

Mehdi Zitouni , Reza Akbarinia , Sadok Ben Yahia , Florent Masseglia

DEXA 2015 - 26th International Conference on Database and Expert Systems Applications, Sep 2015, Valencia, Spain. pp.509-516, ⟨10.1007/978-3-319-22849-5_35⟩

Communication dans un congrès lirmm-01169606v1
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Fast Parallel Mining of Maximally Informative k-Itemsets in Big Data

Saber Salah , Reza Akbarinia , Florent Masseglia

ICDM 2015 - 15th IEEE International Conference on Data Mining, Aug 2015, Atlantic City, NJ, United States. pp.359-368, ⟨10.1109/ICDM.2015.86⟩

Communication dans un congrès lirmm-01187275v1
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Aggregation-Aware Compression of Probabilistic Streaming Time Series

Reza Akbarinia , Florent Masseglia

MLDM: Machine Learning and Data Mining, Jul 2015, Hamburg, Germany. pp.232-247, ⟨10.1007/978-3-319-21024-7_16⟩

Communication dans un congrès lirmm-01162366v1
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Optimizing the Data-Process Relationship for Fast Mining of Frequent Itemsets in MapReduce

Saber Salah , Reza Akbarinia , Florent Masseglia

MLDM 2015 - 11th International Conference on Machine Learning and Data Mining in Pattern Recognition, Jul 2015, Hamburg, Germany. pp.217-231, ⟨10.1007/978-3-319-21024-7_15⟩

Communication dans un congrès lirmm-01171555v1
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When sharing computer science with everyone also helps avoiding digital prejudices

Marie Duflot , Martin Quinson , Florent Masseglia , Didier Roy , Julien Vaubourg et al.

SCRATCH, Aug 2015, Amsterdam, Netherlands

Communication dans un congrès hal-01154767v1
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Chiaroscuro: Transparency and Privacy for Massive Personal Time-Series Clustering

Tristan Allard , Georges Hébrail , Florent Masseglia , Esther Pacitti

SIGMOD: International Conference on Management of Data, May 2015, Melbourne, Australia. pp.779-794, ⟨10.1145/2723372.2749453⟩

Communication dans un congrès hal-01136686v1

Compression de flux de données probabilistes attentive à l'agrégation

Reza Akbarinia , Florent Masseglia

BDA: Gestion de Données — Principes, Technologies et Applications, Oct 2014, Autrans, France

Communication dans un congrès lirmm-01091870v1
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A Density-Based Backward Approach to Isolate Rare Events in Large-Scale Applications

Enikö Székely , Pascal Poncelet , Florent Masseglia , Maguelonne Teisseire , Renaud Cezar

DS: Discovery Science, Oct 2013, Singapore, Singapore. pp.249-264, ⟨10.1007/978-3-642-40897-7_17⟩

Communication dans un congrès lirmm-00907893v1
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Discovering Highly Informative Feature Set Over High Dimensions

Chongsheng Zhang , Florent Masseglia , Xiangliang Zhang

ICTAI: International Conference on Tools with Artificial Intelligence, Nov 2012, Athens, Greece. pp.1059-1064, ⟨10.1109/ICTAI.2012.149⟩

Communication dans un congrès lirmm-00753807v1

Mining frequent itemsets over tuple-evolving data streams

Chongsheng Zhang , Yuan Hao , Mirjana Mazuran , Carlo Zaniolo , Hamid Mousavi et al.

SAC: Symposium on Applied Computing, Mar 2013, Coimbra, Portugal. pp.267-274, ⟨10.1145/2480362.2480419⟩

Communication dans un congrès lirmm-00830923v1

Fast and Exact Mining of Probabilistic Data Streams

Reza Akbarinia , Florent Masseglia

ECML PKDD 2013 - Joint European Conference on Machine Learning and Knowledge Discovery in Databases, Sep 2013, Prague, Czech Republic. pp.493-508, ⟨10.1007/978-3-642-40988-2_32⟩

Communication dans un congrès istex lirmm-00838618v1
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FMU: Fast Mining of Probabilistic Frequent Itemsets in Uncertain Data Streams

Reza Akbarinia , Florent Masseglia

BDA 2012 - 28e journées Bases de Données Avancées, Oct 2012, Clermont-Ferrand, France

Communication dans un congrès lirmm-00748605v1
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Modeling and Clustering Users with Evolving Profiles in Usage Streams

Chongsheng Zhang , Florent Masseglia , Xiangliang Zhang

TIME'2012: 19th International Symposium on Temporal Representation and Reasoning, Sep 2012, United Kingdom. pp.133-140

Communication dans un congrès lirmm-00753791v1
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Découverte de motifs d'évolution significatifs dans les séries temporelles d'images satellites

François Petitjean , Florent Masseglia , Pierre Gancarski

EGC: Extraction et Gestion des Connaissances, Jan 2011, Brest, France. pp.665-676

Communication dans un congrès hal-00640214v1

ABS: The Anti Bouncing Model for Usage Data Streams

Chongsheng Zhang , Florent Masseglia , Yves Lechevallier

ICDM 2010 - 10th IEEE International Conference on Data Mining, Dec 2010, Sydney, NSW, Australia. pp.1169-1174, ⟨10.1109/ICDM.2010.91⟩

Communication dans un congrès lirmm-00653732v1

REGLO: une nouvelle stratégie pour résumer un flux de séries temporelles

Alice Marascu , Florent Masseglia , Yves Lechevallier

Extraction et Gestion des Connaissances, Jan 2010, Hammamet, Tunisie

Communication dans un congrès inria-00461834v1

A Fast Approximation Strategy for Summarizing a Set of Streaming Time Series

Alice Marascu , Florent Masseglia , Yves Lechevallier

ACM Symposium on Applied Computing, Mar 2010, Sierre, Switzerland

Communication dans un congrès inria-00461781v1

Extraction d'itemsets distinctifs dans les flux de données

Chongsheng Zhang , Florent Masseglia

Extraction et gestion des connaissances, Jan 2010, France. pp.187-198

Communication dans un congrès hal-00504877v1

Parameterless Outlier Detection in Data Streams

Alice Marascu , Florent Masseglia

ACM symposium on Applied Computing, Mar 2009, Honolulu, United States. pp.1491-1495

Communication dans un congrès inria-00461827v1
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Détection d'intrusions dans un environnement collaboratif sécurisé

Nischal Verma , François Trousset , Pascal Poncelet , Florent Masseglia

EGC: Extraction et Gestion des Connaissances, Jan 2009, Strasbourg, France. pp.301-312

Communication dans un congrès lirmm-00345566v1

Détection d'enregistrements atypiques dans un flot de données: une approche multi-résolution

Alice Marascu , Florent Masseglia

Extraction et Gestion des Connaissances, Jan 2009, Strasbourg, France

Communication dans un congrès inria-00461838v1

Online and Adaptive anomaly Detection: detecting intrusions in unlabelled audit data streams

Wei Wang , Thomas Guyet , René Quiniou , Marie-Odile Cordier , Florent Masseglia et al.

EGC 2009, 2009, Strasbourg, France

Communication dans un congrès inria-00460723v1
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Data Mining for Intrusion Detection: from Outliers to True Intrusions

Goverdhan Singh , Florent Masseglia , Céline Fiot , Alice Marascu , Pascal Poncelet

PAKDD 2009 - 13th Pacific-Asia Conference on Knowledge Discovery and Data Mining, Apr 2009, Bankok, Thailand. pp.891-898, ⟨10.1007/978-3-642-01307-2_93⟩

Communication dans un congrès inria-00359206v2

A General Framework for Adaptive and Online Detection of Web attacks

Wei Wang , Florent Masseglia , Thomas Guyet , René Quiniou , Marie-Odile Cordier

18th International World Wide Web Conference - WWW 2009, Apr 2009, Madrid, Spain

Communication dans un congrès inria-00461391v1
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Collaborative Outlier Mining for Intrusion Detection

Goverdhan Singh , Florent Masseglia , Céline Fiot , Alice Marascu , Pascal Poncelet

EGC: Extraction et Gestion des Connaissances, Jan 2009, Strasbourg, France. pp.313-323

Communication dans un congrès lirmm-00345574v1
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SAX: A Privacy Preserving General Purpose Method applied to Detection of Intrusions

François Trousset , Pascal Poncelet , Florent Masseglia

ACM First International Workshop on Privacy and Anonymity for Very Large Datasets, join with CIKM 09, Nov 2009, Hong Kong, China. pp.17-24

Communication dans un congrès lirmm-00430646v1

A Multi-Resolution Approach for Atypical Behaviour Mining

Alice Marascu , Florent Masseglia

Pacific-Asia Conference on Knowledge Discovery and Data Mining, Apr 2009, Bangkok, Thailand. pp.899-906, ⟨10.1007/978-3-642-01307-2⟩

Communication dans un congrès inria-00461831v1
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TED and EVA : Expressing Temporal Tendencies Among Quantitative Variables Using Fuzzy Sequential Patterns

Céline Fiot , Florent Masseglia , Anne Laurent , Maguelonne Teisseire

WCCI4: World Congress on Computational Intelligence, Jun 2008, Hong Kong, China. pp.1861-1868, ⟨10.1109/FUZZY.2008.4630623⟩

Communication dans un congrès lirmm-00273907v1
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Des séquences aux tendances

Céline Fiot , Florent Masseglia , Anne Laurent , Maguelonne Teisseire

INFORSID: INFormatique des ORganisations et Systèmes d’Information et de Décision, May 2008, Fontainebleau, France

Communication dans un congrès lirmm-00273920v1
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Time Aware Mining of Itemsets

Bashar Saleh , Florent Masseglia

TIME, Jun 2008, Montreal, Canada. pp.93-97, ⟨10.1109/TIME.2008.12⟩

Communication dans un congrès inria-00359182v1
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Gradual Trends in Fuzzy Sequential Patterns

Céline Fiot , Florent Masseglia , Anne Laurent , Maguelonne Teisseire

IPMU: Information Processing and Management of Uncertainty in Knowledge-Based Systems, Jun 2008, Malaga, Spain. pp.456-463

Communication dans un congrès lirmm-00273910v1

Limites d'une approche incrémentale pour la segmentation de séquences dans les flux

Alice Marascu , Florent Masseglia

Fouille de données complexes dans un processus d'extraction de connaissances, Jan 2007, Namur, Belgique

Communication dans un congrès inria-00461878v1
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Peer-to-Peer Usage Analysis: a Distributed Mining Approach

Florent Masseglia , Pascal Poncelet , Maguelonne Teisseire

AINA: Advanced Information Networking and Applications, 2006, Vienna, Austria

Communication dans un congrès hal-00106798v1

Classification de flots de séquences basée sur une approche centroïde

Alice Marascu , Florent Masseglia

INFORSID, Informatique des organisations et systèmes d'information et de décision, Jun 2006, Hammamet, Tunisie

Communication dans un congrès inria-00461839v1

Extraction de motifs séquentiels dans les flots de données d'usage du Web

Alice Marascu , Florent Masseglia

Extraction et Gestion des Connaissances, Jan 2006, Lille, France. pp.627-638

Communication dans un congrès inria-00461841v1
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Web Usage Mining : extraction de périodes denses à partir des logs

Florent Masseglia , Pascal Poncelet , Maguelonne Teisseire , Alice Marascu

EGC: Extraction et Gestion des Connaissances, Jan 2006, Lille, France. pp.403-408

Communication dans un congrès inria-00461840v1

Classification de flots de séquences basée sur une approche centroïde

Alice Marascu , Florent Masseglia

Fouille de données complexes dans un processus d'extraction de connaissances, Jan 2006, Lille, France. pp.131-139

Communication dans un congrès inria-00461880v1

Web Usage Mining: Extracting Unexpected Periods from Web Logs

Florent Masseglia , Pascal Poncelet , Maguelonne Teisseire , Alice Marascu

IEEE 2nd Workshop on Temporal Data Mining (TDM'05). Held in conjunction with ICDM'05, Nov 2005, Houston, United States

Communication dans un congrès inria-00461877v1

Mining Sequential Patterns from Temporal Streaming Data

Alice Marascu , Florent Masseglia

First ECML/PKDD Workshop on Mining Spatio-Temporal Data (MSTD'05), held in conjunction with the 9th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD'05), Nov 2005, Porto, Portugal

Communication dans un congrès inria-00461843v1

Mining Data Streams for Frequent Sequences Extraction

Alice Marascu , Florent Masseglia

IEEE first Workshop on Mining Complex Data (MCD'05). Held in conjunction with ICDM'05, Nov 2005, Houston, United States

Communication dans un congrès inria-00461876v1

Pre-Processing Time Constraints for Efficiently Mining Generalized Sequential Patterns

Florent Masseglia , Maguelonne Teisseire , Pascal Poncelet

TIME'04: 11th International Symposium on Temporal Representation and Reasoning, Jul 2004, Tatihou, Basse-Normandie (France), France. pp.87-95, ⟨10.1109/TIME.2004.1314424⟩

Communication dans un congrès lirmm-00108888v1

Web Usage Mining: Sequential Pattern Extraction with a Very Low Support

Florent Masseglia , Doru Tanasa , Brigitte Trousse

Advanced Web Technologies and Applications: 6th Asia-Pacific Web Conference, APWeb 2004, Apr 2004, Hangzhou, China. pp.513--522, ⟨10.1007/978-3-540-24655-8_56⟩

Communication dans un congrès istex hal-00950768v1

Real Time Web Usage Mining with a Distributed Navigation Analysis

Florent Masseglia , Maguelonne Teisseire , Pascal Poncelet

RIDE'02: International Workshop on Research Issues on Data Engineering, San Jose, USA, pp.6

Communication dans un congrès lirmm-00268631v1

HDM, un Module de Fouille de Données Distribué et Temps Réel

Florent Masseglia , Maguelonne Teisseire , Pascal Poncelet

EGC: Extraction et Gestion des Connaissances, Jan 2002, Montpellier, France. pp.393-398

Communication dans un congrès lirmm-00268518v1
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Web Usage Mining: How to Efficiently Manage New Transactions and New Clients

Florent Masseglia , Pascal Poncelet , Maguelonne Teisseire

PKDD 2000 - 4th European Conference on Principles of Data Mining and Knowledge Discovery, Sep 2000, Lyon, France. pp.530-535, ⟨10.1007/3-540-45372-5_62⟩

Communication dans un congrès hal-00008926v1
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Adaptation of two Big-data indexing algorithms for LOCAL-PLS

Maxime Metz , Jean-Michel Roger , Matthieu Lesnoff , Reza Akbarinia , Florent Masseglia

Chiométrie 2019, Jan 2019, Montpellier, France. 2019

Poster de conférence hal-05249499v1
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Highly Scalable Real-Time Analytics with CloudDBAppliance

Boyan Kolev , Oleksandra Levchenko , Florent Masseglia , Reza Akbarinia , Esther Pacitti et al.

XLDB: Extremely Large Databases Conference, Oct 2017, Clermont-Ferrand, France. , 10th Extremely Large Databases Conference, 2017

Poster de conférence lirmm-01632355v1
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Variable-Size Segmentation for Time Series Representation

Lamia Djebour , Reza Akbarinia , Florent Masseglia

Transactions on Large-Scale Data- and Knowledge-Centered Systems LIII, 13840, pp.34-65, 2023, Lecture Notes in Computer Science, 978-3-662-66862-7. ⟨10.1007/978-3-662-66863-4_2⟩

Chapitre d'ouvrage lirmm-03882927v1
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Anomaly Detection in Time Series

Heraldo Borges , Reza Akbarinia , Florent Masseglia

Transactions on Large-Scale Data- and Knowledge-Centered Systems L, LNCS. TLDKS -12930, , pp.46-62, 2021, Lecture Notes in Computer Science. Transactions on Large-Scale Data- and Knowledge-Centered Systems, 978-3-662-64553-6. ⟨10.1007/978-3-662-64553-6_3⟩

Chapitre d'ouvrage lirmm-03359500v1
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Intrusion Detections in Collaborative Organizations by Preserving Privacy

Verma Nischal , François Trousset , Pascal Poncelet , Florent Masseglia

Fabrice Guillet and Gilbert Ritschard and Djamel Abdelkader Zighed and Henri Briand. Advances in Knowledge Discovery and Management, 292, Springer, pp.235-247, 2010, Studies in Computational Intelligence, 978-3-642-00579-4. ⟨10.1007/978-3-642-00580-0_14⟩

Chapitre d'ouvrage lirmm-00430642v1
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Mining Common Outliers for Intrusion Detection

Goverdhan Singh , Florent Masseglia , Céline Fiot , Alice Marascu , Pascal Poncelet

Fabrice Guillet; Gilbert Ritschard; Djamel Abdelkader Zighed; Henri Briand. Advances in Knowledge Discovery and Management, 292, Springer, pp.217-234, 2010, Studies in Computational Intelligence, 978-3-642-00579-4. ⟨10.1007/978-3-642-00580-0_13⟩

Chapitre d'ouvrage lirmm-00798705v1

Web Usage Mining for Ontology Management

Brigitte Trousse , Marie-Aude Aufaure , Bénédicte Le Grand , Yves Lechevallier , Florent Masseglia

Data Mining with Ontologies: Implementation, Findings and Framework, Idea Group Publishing, pp.37-64, 2007

Chapitre d'ouvrage hal-00256574v1

Sequential Pattern Mining

Florent Masseglia , Maguelonne Teisseire , Pascal Poncelet

John Wang. Encyclopedia of Data Warehousing and Mining, Idea Group Reference, pp.1028-1032, 2005, 1-59140-557-2

Chapitre d'ouvrage lirmm-00106576v1